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SAP HANA Training by Learn IT Training teaches you the essentials of HANA and concepts which are related to real time industry practices by training you with practical methods and live project case studies. Here you learn in detail about SAP HANA architecture in training session you will learn some concepts related to advancement of HANA i.e., SAP S4 HANA Training.

HANA Architecture?
The SAP HANA database is developed in C++ and runs on SUSE Linux Server. SAP HANA database consists of multiple servers and the most important component is the Index Server and consists of the following.
Index Server: Main component of DB and contains data stores, and engine for processing the data. Process the queries in authenticated session and transactions.
Persistence Layer: Responsible for durability and atomic of transactions. Make sure that data is committed and can be restore in case of disasters.
Processor Server: The index server uses the preprocessor server for analyzing text data and extracting the information on which the text search capabilities are based.
Name Server: The name server owns the information about system. In a distributed system, the name server knows location of components running and data located on which server.

What is row store and column store in HANA?
Row Storage: It stores table records in a sequence of rows. Oracle Training, SQL server, Teradata store data in row storage.
Column Storage: It stores table records in a sequence of columns i.e. the entries of a column is stored in contiguous memory locations.

What is calculation view, analytical view and attribute view?
Attribute View: Attribute view(s) are dimensions or master data and can be joined with dimension table or another attribute view.
Analytic View: Consists of fact table (master table) with various dimension tables. Fact table contains the transnational information. Easy to summarize (aggregate) the data from dimensions table.
Calculation View: Calculation views are composite views and can perform complex calculation on data. It can combine information(such as facts) from various table, attribute and analytical views into one large chunk.

What types are SQL joins are available?
You can take the advantage of having SQL Server Training with Learn IT
Inner join
Left Outer join
Right outer join

Cartesian join

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